The most effective product managers I've worked with don't specialize in growth or platform. They understand both. This isn't about being a generalist who's mediocre at everything. It's about seeing connections that specialists miss - like how a platform data quality fix can drive more growth impact than months of A/B testing.
From Simple Consumer Apps to Complex Platform Thinking
Early in my career, I focused entirely on building consumer web apps and content experiences. I loved creating cohesive end-to-end user experiences where I could see the direct connection between product decisions and customer satisfaction. The feedback loops were immediate, the metrics were clear, and success felt tangible.
When I transitioned to a platform team supporting multiple internal and external customers, I discovered an entirely new level of complexity. Instead of optimizing for a single user journey, I had to understand multiple use cases for our data and build systems and APIs that served existing needs while anticipating future requirements customers didn't even know they had yet.
This is where my early consumer experience became invaluable. I could understand the strategies our platform customers were employing and create scenarios for where they might be heading. This helped me develop a roadmap that would empower them to do things they never knew they wanted, creating a flexible platform that served their evolving needs for years.
When Platform Investment Drove Growth for 20 Brands
That cross-domain understanding paid off most dramatically when I worked on a platform serving over 20 brands in 30 countries, plus an API community of hundreds of customers. Our platform served content data that was relatively flat, meaning there was potential for conflicts and duplications. From a platform perspective, the data was easy to manage. But for our clients, it was a mess. API clients were writing rules to avoid showing duplicate or conflicting data, each brand implementing workarounds independently.
When we had the opportunity to rebuild our database for the next generation of AI and data-heavy tooling, we knew we had to do better. As someone who had run those endless A/B tests looking for a few points of improvement, I knew how painful it was to add layers of validation when the data was potentially corrupted. So we built a robust validation layer that cleaned up millions of errors and ensured no new problems would arise.
The growth impact was immediate and multiplicative. Clients could simplify their code and freely innovate on user experiences while saving hours of testing. This platform improvement enabled better growth outcomes for all customers simultaneously. A pure platform PM might not have understood why dirty data was killing growth experiments. A pure growth PM might not have known that a database rebuild was the right lever to pull. It took both perspectives to see the connection.
Why Breadth Matters
Narrow specialization creates blind spots. When you only understand growth, you don't see how platform limitations constrain your optimization efforts. When you only understand platforms, you can't anticipate what your customers will actually need to build. Full-stack experience across different product types creates better strategic vision. Whether you're at a startup wearing multiple hats or a large organization coordinating across specialized teams, this breadth makes you more effective at driving results - because the biggest opportunities almost always sit at the intersection of domains.